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BMVC92 pp 397–408Cite as

A Curvature Sensitive Filter and its Application in Microfossil Image Characterisation

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Abstract

A new class of oriented, curvature sensitive filters are introduced. These filters provide a low-level detection facility for noisy curves without a prior edge extraction stage. The application of these filters to the detection of Carboniferous Foraminifers (a type of microfossil found in plane rock sections) is described. A symbolic representation of the detected curves is stored in a database which is then queried to recover the required structures. We show that the curves identified by the filter correspond to salient features of the microfossil evidence in the image.

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References

  1. Swaby P. A. “A Graphical Expert system for Microfossil Identification”, BCS Expert Systems Conference, London, 20–22 September 1989.

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  2. Parent P. and Zucker S.W. Trace Inference, curvature consistency and curve detection, IEEE PAM, Vol II, No 8 1989 pp 823–839.

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  4. Oakley, Robinson & Shann, “An Efficient and Robust Local Boundary Operator”, BMVC 91.

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  5. Shann & Oakley “Novel Approach to Boundary Finding” IVC 8 p32 (1990).

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  6. Murray Gill and Wright “Practical Optimisation”.

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  7. Lavington & Wang The External Procedural Interface for the IFS/2 Dept Computer Science, University of Essex report CSM 164, June 1991.

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  8. J.P. Oakley and R. T. Shann “An efficient method for finding the position of object boundaries to sub-pixel precision”, Image and Vision Computing, Volume 97 no 4, August 1991.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of Manchester, Manchester, M13 9PL, UK

    J. P. Oakley & R. T. Shann

Authors
  1. J. P. Oakley
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  2. R. T. Shann
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Editor information

Editors and Affiliations

  1. School of Computer Studies, University of Leeds, Leeds, LS2 9JT, UK

    David Hogg BSc, MSc, DPhil  & Roger Boyle BA, PhD  & 

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© 1992 Springer-Verlag London Limited

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Cite this paper

Oakley, J.P., Shann, R.T. (1992). A Curvature Sensitive Filter and its Application in Microfossil Image Characterisation. In: Hogg, D., Boyle, R. (eds) BMVC92. Springer, London. https://doi.org/10.1007/978-1-4471-3201-1_41

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  • DOI: https://doi.org/10.1007/978-1-4471-3201-1_41

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19777-5

  • Online ISBN: 978-1-4471-3201-1

  • eBook Packages: Springer Book Archive

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